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Importance sampling
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11	Eur. Phys. J. Special Topics 224, 2409–) © EDP Sciences, Springer-Verlag 2015 DOI: epjst/e2015THE EUROPEAN PHYSICAL JOURNAL Add to Reading List Source URL: comp-phys.univie.ac.at Language: English - Date: 2015-09-23 02:32:54 Computational chemistry Monte Carlo methods Theoretical chemistry Molecular dynamics Stochastic simulation Transition path sampling Thermodynamic integration Reaction coordinate Dynamical system Importance sampling TPS Phase space
12	References Importance Sampling Jessi Cisewski Carnegie Mellon University Add to Reading List Source URL: astrostatistics.psu.edu Language: English - Date: 2014-06-12 07:11:13
13	Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares Garvesh Raskutti RASKUTTI @ STAT. WISC . EDU University of Wisconsin, Madison, Department of Statistics, Department of Computer Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2015-05-28 13:06:14 Statistics Regression analysis Leverage Influential observation Ordinary least squares Importance sampling Linear regression Matrix Degrees of freedom Sampling Orthogonal matrix Variance
14	? HIERARCHICAL BAYESIAN MODELING WITH ABC AND IMPORTANCE SAMPLING? BAYESIAN COMPUTING FOR ASTRONOMICAL DATA ANALYSIS Add to Reading List Source URL: astrostatistics.psu.edu Language: English - Date: 2014-06-10 22:52:06
15	Stream Clustering: Efficient Kernel-based Approximation using Importance Sampling Radha Chitta, Rong Jin and Anil K. Jain Department of Computer Science and Engineering, Michigan State University, East Lansing, MI 48824, Add to Reading List Source URL: www.cse.msu.edu Language: English - Date: 2015-09-07 17:16:05
16	Coresets for Nonparametric Estimation — the Case of DP-Means Olivier Bachem Mario Lucic Andreas Krause ETH Zurich, Switzerland Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:43 Statistics Computational statistics Cluster analysis Machine learning Monte Carlo methods K-means clustering K-means++ Dirichlet process Mixture model Median Importance sampling Determining the number of clusters in a data set
17	Random Sampling of Alternatives for Route Choice Modeling Emma Frejinger, Transport and Mobility Laboratory, EPFL Michel Bierlaire, Transport and Mobility Laboratory, EPFL Conference paper STRC 2007 Add to Reading List Source URL: www.strc.ch Language: English - Date: 2008-11-24 07:42:20 Probability theory Network theory Mathematics Statistics Stochastic processes Sampling Survey methodology Random walk Shortest path problem Importance sampling Simple random sample Probability distribution
18	A Simple Application of Sampling Importance Re-sampling (SIR) for Solution Sampling Vibhav Gogate and Rina Dechter Donald Bren School of Information and Computer Science University of California, Irvine, CA 92697, USA Add to Reading List Source URL: www.hlt.utdallas.edu Language: English - Date: 2011-09-26 17:58:55
19	Importance sampling for activity path choice Antonin Danalet Michel Bierlaire EPFL Add to Reading List Source URL: www.strc.ch Language: English - Date: 2015-05-18 08:51:03 Transportation planning Trip distribution Scientific modelling Thermodynamic activity Economic model Travel behavior Mathematical model Business Economy Science
20	Advances in Lifted Importance Sampling Vibhav Gogate Abhay Jha Deepak Venugopal Add to Reading List Source URL: www.hlt.utdallas.edu Language: English - Date: 2012-04-17 17:11:20

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